Publications

Network Control Theory (NCT) is a branch of physical and engineering sciences that treats a network as a dynamical system. Generally, the system is controlled through control signals that originate at a control node (or control nodes) and move through the network. In the brain, NCT models each region’s activity as a time-dependent internal state that is predicted from a combination of three factors: (i) its previous state, (ii) whole-brain structural connectivity, and (iii) external inputs. nctpy is a Python toolbox that provides researchers with a set of tools to conduct some of the common NCT analyses reported in the literature.

References:

Parkes L*, Kim JZ*, Stiso J, Brynildsen JK, Cieslak M, Covitz S, Gur RE, Gur RC, Pasqualetti F, Shinohara RT, Zhou D, Satterthwaite TD, & Bassett DS. A network control theory pipeline for studying the dynamics of the structural connectome. Nature Protocols. *These authors contributed equally